7 papers
GaussLite: Online Task-Conditioned 3D Gaussian Splatting for Real-Time Robotic Mapping
Annika Thomas, Mason Peterson, Jonathan P. How
Existing 3D Gaussian Splatting (3DGS) systems distribute representation capacity uniformly across a scene, ignoring the fact that many downstream robotic tasks engage only a fracti…
Meridian: Metric-Semantic Primitive Matching for Cross-View Geo-Localization Beyond Urban Environments
Mason Peterson, Qingyuan Li, Yixuan Jia +4
Successful robot automation requires accurate global localization to support repeatability, task planning, goal specification, and safe operation. However, reliable localization in…
Distribution Estimation for Global Data Association via Approximate Bayesian Inference
Yixuan Jia, Mason B. Peterson, Qingyuan Li +2
Global data association is an essential prerequisite for robot operation in environments seen at different times or by different robots. Repetitive or symmetric data creates signif…
Language-Grounded Hierarchical Planning and Execution with Multi-Robot 3D Scene Graphs
Jared Strader, Aaron Ray, Jacob Arkin +11
In this paper, we introduce a multi-robot system that integrates mapping, localization, and task and motion planning (TAMP) enabled by 3D scene graphs to execute complex instructio…
TCAFF: Temporal Consistency for Robot Frame Alignment
Mason B. Peterson, Parker C. Lusk, Antonio Avila +1
In the field of collaborative robotics, the ability to communicate spatial information like planned trajectories and shared environment information is crucial. When no global posit…
DYNUS: Uncertainty-aware Trajectory Planner in Dynamic Unknown Environments
Kota Kondo, Mason Peterson, Nicholas Rober +5
This paper introduces DYNUS, an uncertainty-aware trajectory planner designed for dynamic unknown environments. Operating in such settings presents many challenges -- most notably,…